Daniel Muema
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
- Tuberculosis Research and Epidemiology
Papers in
- Virology 10
- HIV Research and Treatment 10
-
- Tuberculosis Research and Epidemiology 3
- HIV/AIDS Research and Interventions 3
- Co-authors
- Thumbi Ndung’u (13 shared papers)Krista L. Dong (4 shared papers)Bruce D. Walker (5 shared papers)Amber Moodley (4 shared papers)Zaza M. Ndhlovu (4 shared papers)Nasreen Ismail (4 shared papers)Jenniffer M. Mabuka (3 shared papers)Eunice Nduati (6 shared papers)
- Journals
- Frontiers in Immunology (3 papers)PLoS ONE (3 papers)Clinical Infectious Diseases (2 papers)Nature Communications (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesSouth AfricaKenya
In The Last Decade
Daniel Muema
21 papers receiving 382 citations
Peers
Comparison fields: 5 of 54
- Virology 178
- Infectious Diseases 149
- Immunology 124
- Epidemiology 90
- Emergency Medicine 20
Countries citing papers authored by Daniel Muema
This map shows the geographic impact of Daniel Muema's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Muema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Muema more than expected).
Fields of papers citing papers by Daniel Muema
This network shows the impact of papers produced by Daniel Muema. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Muema. The network helps show where Daniel Muema may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Muema, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 63 | |
| 2 | 2020 | 53 | |
| 3 | 2019 | 46 | |
| 4 | 2015 | 30 | |
| 5 | 2017 | 27 | |
| 6 | 2012 | 22 | |
| 7 | 2015 | 19 | |
| 8 | 2017 | 19 | |
| 9 | 2020 | 14 | |
| 10 | 2017 | 13 | |
| 11 | 2024 | 13 | |
| 12 | 2018 | 12 | |
| 13 | 2016 | 11 | |
| 14 | 2017 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2015 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2020 | 4 |
About Daniel Muema
Daniel Muema is a scholar working on Virology, Infectious Diseases, Epidemiology, Immunology and Surgery, having authored 21 papers that have together received 388 indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), Immune Cell Function and Interaction (4 papers), Tuberculosis Research and Epidemiology (3 papers), T-cell and B-cell Immunology (3 papers), HIV/AIDS Research and Interventions (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Fungal Infections and Studies (2 papers). The work is most often cited by research in Virology (178 citations), Infectious Diseases (149 citations), Immunology (124 citations), Epidemiology (90 citations) and Emergency Medicine (20 citations). Daniel Muema has collaborated with scholars based in United States, South Africa and Kenya. Frequent co-authors include Thumbi Ndung’u, Krista L. Dong, Bruce D. Walker, Amber Moodley, Zaza M. Ndhlovu, Nasreen Ismail, Jenniffer M. Mabuka, Eunice Nduati, Britta C. Urban and Tarylee Reddy. Their work appears in journals such as Frontiers in Immunology, PLoS ONE, Clinical Infectious Diseases, Nature Communications and The Journal of Immunology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.